Computational and Applied Mathematics (CAM) Seminar

Fall 2019

CAM seminar talks are held on Wednesday from 2:00-3:00 PM in Snow Hall 306, unless otherwise noted.

KU Numerical Analysis Group Webpage

Please contact Erik Van Vleck for arrangements.

September 4 Organization meeting
September 11  
September 18

Hamid Mofidi (University of Kansas), Reversal potential of ionic channels via cPNP models

Ion channels, proteins embedded in membranes, provide a major​ channel for cells to communicate with each other and with the outside to transform signals and to conduct group tasks. Permeation and selectivity properties of an ion channel  are mainly extracted from the I-V relation measured experimentally. Individual fluxes carry more information than the I-V relation but it is expensive and challenging to measure them.

In this work, based on geometric singular perturbation analyses of quasi-one dimensional  Poisson-Nernst-Planck model for ionic flows, we study the problem of zero current  condition for ionic flows through membrane channels with a simple profile of permanent charges. For unequal diffusion coefficients, the analysis becomes extremely challenging. This work will focus only on two ion species, one positively charged (cation) and one negatively charged (anion), with two  arbitrary diffusion coefficients. Mathematically, we identify how the reversal potential depends on the channel structure and diffusion coefficients. In particular, we are able to show, with a number of concrete results, that the possible different diffusion constants make significant differences. A comparison of our result with the GHK equation is provided. The dual problem of reversal permanent charges is briefly discussed too.​

September 25  
October 2

Aaron Barrett (University of Kansas), Investigating Redundancy in an Asynchronous Fixed-Point Linear Solver to Reduce the Effects of Delayed Communication

Abstract: Recent years have seen the proliferation of smart network-connected devices that exist on the ”edge” of large control systems that are capable of distributed calculations.  In particular, the power grid has become progressively more complex, especially with the incorporation of distributed energy resources (DER’s). This increase of ”smart” devices results in a new attack surface reinforcing the need to avoid single points of failure that are common in centralized systems. Additionally, these devices also communicate unreliably with the network, meaning that changes in communication should not halt the entire distributed calculation. In order to remove these kinds of vulnerabilities, we need resilient algorithms to implement on decentralized infrastructure networks. This motivates the study of algorithms which can make use of collaborative autonomy. In this talk, we present a parallel asynchronous Jacobi iteration where each process is responsible for updating and distributing several components of the solution vector. 

October 9

Mat Johnson (University of Kansas), Modulational Dynamics of Spectrally Stable Lugiato-Lefever Periodic Waves

Abstract: We consider the linear dynamics of spectrally stable periodic stationary solutions of the Lugiato-Lefever equation (LLE).  The LLE takes the form of an NLS equation with damping and external forcing, and has been widely studied in nonlinear fiber optics.  Our main result establishes the linear asymptotic stability of spectrally stable periodic solutions of the LLE to perturbations which are localized , i.e. integrable on the line.  We further show the long-time modulational dynamics are governed by an associated averaged system (known as the Whitham system).  Specifically, this work justifies the predictions of Whitham’s theory of modulations for the LLE at the level of linear dynamics.  This is joint work with Mariana Haragus (Univ. Bourgogne Franche-Comete) and Wesley Perkins (KU).

October 16

Mark Hoefer (University of Colorado Boulder), Five Conservative Regularizations of the Hopf Equation

Abstract: The Hopf equation, also known as the inviscid Burgers equation, is the simplest nonlinear wave equation and an introductory example for students studying hyperbolic, quasi-linear partial differential equations.  The initial value problem exhibits finite time singularity formation (gradient catastrophe), which can be regularized in many ways.  One common approach that is inspired by physical problems, e.g., gas dynamics, is to add higher order, dissipative smoothing terms and study the zero dissipation limit.  Under quite general conditions, this vanishing-viscosity technique offers both mathematical and physical justifications for weak (entropy) solutions and the Rankine-Hugoniot conditions for shock waves.  A completely different approach is to add higher order, conservative (dispersive) terms and study the small dispersion limit.  This talk will present five distinct, physical, conservative regularizations that yield different small dispersion behavior for initial value problems.  A rich variety of dispersive shock wave solutions for these models will be analyzed using nonlinear wave (Whitham) modulation theory, numerical simulation, and experiment.  All conservative regularizations considered result in solutions that significantly deviate from the vanishing-viscosity approach.

HOST: Mantzavinos

October 23

Bing Pu (University of Kansas, Department of Geography and Atmospheric Science)

Seasonal Prediction Potential for Springtime Dustiness in the United States


Abstract: Severe dust storms reduce visibility and cause breathing problems
and lung diseases, affecting public transportation and safety. Reliable forecasts for dust storms and
overall dustiness are therefore important for hazard prevention and resource planning. Most dust
forecast models focus on short‐time forecasts extending out only a few days. The capability of
seasonal dust prediction in the United States is not clear. Here we use a statistical model and
precipitation, surface wind, and ground surface bareness from a seasonal prediction model driven by
observational information on 1 December to predict dustiness over major dusty regions in the United
States in spring. It is found that our method can largely capture the year‐to‐year variations in
dustiness over the Great Plains during March‐April‐May and partially over the southwestern United
States. The finding here will help the development of a more reliable seasonal dust prediction system in
the future.

HOST: Van Vleck

October 30

2:00 PM  Andrew Steyer (Sandia), Time-stepping in the E3SM nonhydrostatic atmosphere dynamic core

HOST: Van Vleck

3:00 PM  Xiang Wang (Jilin University), Conditioning of the Finite Volume Element Method for Diffusion Problems with General Simplicial Meshes Abstract.

HOST: Huang

November 6

Zoe Zhu (Harvard), TBA

HOST: Cazeaux

November 13

Bob Eisenberg (Rush Medical), TBA


November 20 Hongguo Xu (University of Kansas), TBA
November 27 Thanksgiving Break
December 4

Cassidy Krause (University of Kansas), TBA


Events Calendar

Using Math

Nicole Johnson found a way to express her baton twirling using math.  See video.